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Inference of Quantitative Models of Bacterial Promoters from Time-Series Reporter Gene Data
The inference of regulatory interactions and quantitative models of gene regulation from time-series transcriptomics data has been extensively studied and applied to a range of problems in drug discovery, cancer research, and biotechnology. The application of existing methods is commonly based on im...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4295839/ https://www.ncbi.nlm.nih.gov/pubmed/25590141 http://dx.doi.org/10.1371/journal.pcbi.1004028 |